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Fitting mixture models for feeling and uncertainty for rating data analysis

Author

Listed:
  • Giovanni Cerulli

    (IRCrES-CNR)

  • Rosaria Simone

    (University of Naples Federico II)

  • Francesca Di Iorio

    (University of Naples Federico II)

  • Domenico Piccolo

    (University of Naples Federico II)

  • Christopher F Baum

    (Boston College
    DIW Berlin)

Abstract

In this article, we present the command cub, which fits ordinal rating data using combination of uniform and binomial (CUB) models, a class of finite mixture distributions accounting for both feeling and uncertainty of the response process. CUB identifies the components that define the mixture in the baseline model specification. We apply maximum likelihood methods to estimate feeling and uncertainty parameters, which are possibly explained in terms of covariates. An extension to inflated CUB models is discussed. We also present a subcommand, scattercub, for visualization of results. We then illustrate the use of cub using a case study on students’ satisfaction for the orientation services provided by the University of Naples Federico II in Italy.

Suggested Citation

  • Giovanni Cerulli & Rosaria Simone & Francesca Di Iorio & Domenico Piccolo & Christopher F Baum, 2022. "Fitting mixture models for feeling and uncertainty for rating data analysis," Stata Journal, StataCorp LP, vol. 22(1), pages 195-223, March.
    • Handle: RePEc:tsj:stataj:y:19:y:2019:i:1:p:195-223
    DOI: 10.1177/1536867X221083927
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj22-1/st0669/
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    Citations

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    Cited by:

    1. Beatriz Tovar & David Boto-García & José Francisco Baños Pino, 2024. "Meeting externalities: The effects of educational training on support for tourism activities," Tourism Economics, , vol. 30(3), pages 785-805, May.
    2. Stefania Capecchi & Francesca Di Iorio & Nunzia Nappo, 2024. "A mixture model for self-assessed stress at work across EU 163," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 78(2), pages 163-174, April-Jun.

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